Career program

Start your Data Science journey today!

97.9% of our graduates land jobs. You can too.

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Application deadline


Start date



8-12 months



Full price

“Turing College prepares data scientists who not only excel in theory but also possess real‑world skills.”

Eimantas Sabaliauskas

Co-founder of Nord VPN

Make the next step in your data science career

In our data science program, you will:

Learn by completing ~16 real-life data science projects. Each of them will be reviewed by a senior data scientist and a peer.

Specialize in one of these areas:

Machine learning

Computer vision

LLM engineering fundamentals

Become job-ready.

Learn the tools and languages needed to kick off your data science career:





and more...

Learn from the curriculum that guarantees skills

Our program is created by senior data scientists and focused on helping you to get hired and apply your skills from day one after graduation.

Data wrangling with Python

Learn Python from the ground up and master how to process and visualize data with NumPy, Pandas, and other data visualization libraries. Gain proficiency in essential tools for data analysis with Python, preparing you for advanced data-driven tasks.

Statistical inference

Enhance your knowledge of statistics and delve into probability, statistical inference, A/B tests, and causal inference. Acquire the skills to create and test experimental hypotheses and understand statistical models. Learn SQL to effectively work with data in relational databases.

Machine learning

Learn how to use various types of supervised and unsupervised machine learning models, such as KNNs, decision trees, random forests, support vector machines, gradient boosted trees, XGBoost, LightGBM, K-Means clustering and more. Learn underlying concepts of the most popular current generative AI models like ChatGPT.

Computer vision (AI specialisation)

Explore computer vision, starting with digital image processing and advancing to image classification and detection/segmentation. Use libraries like PIL, NumPy, and OpenCV, and master CNN architectures such as AlexNet and ResNet with PyTorch. Apply your skills in practical projects, building models for quality assurance, image labeling, and self-driving cars.

LLM engineering fundamentals (AI specialization)

Discover the fundamentals of LLM engineering, focusing on LLM architecture and practical applications. Learn to work with OpenAI APIs, integrate Langchain, and explore retrieval-augmented generation (RAGs). Apply your knowledge to build and optimize advanced language models for various real-world tasks.

Individual specialisation modules

Work on our hiring partners projects and build an internship-level portfolio.

Flexible graduation

Dedicating at least 15 hours of focused learning per week you can graduate in 12 months. Of course there is no limits on how fast you can graduate. Learn how to plan your graduation date ↗

Build a portfolio that proves your skills to tech companies

The best way to learn data science is to get hands-on experience using real data. In this program, you will complete up to 14 regular projects and 2 capstone projects and build an interview-ready portfolio you can show to tech companies.

While working on your capstone project, you will:

Identify a client’s business problem

Acquire, wrangle, and explore relevant data

Use machine learning or other advanced techniques to make predictions

Learn to create real-world business impact through data storytelling

Be able to direct the work towards the industry that you are most interested in

Examples of projects

Use machine learning to create a model that might allow for the predicting of stroke risk in patients.

Perform exploratory data analysis on a large dataset of educational courses.

Learn from professionals who are 100% up‑to‑date with the industry trends

Dovydas Čeilutka

Lead of Data Science

Staff Data Scientist at Vinted

Tomas Šostak

Senior team lead

Product Data Scientist at Vinted

Dalia Jankevičiūtė


Strategic Partner Development Manager at Google

Deividas Skiparis

Senior team lead

Data Scientist at Vinted

Mike Jin


Senior Research Scientist at Centaur Labs

Algimantas Černiauskas

Academic board member

Data Scientist at IBM

Unsere Studenten wurden eingestellt von:

Anders als jede andere Online-Hochschule auf der Welt

Wenn du Coursera oder einen kostengünstigen Kurs ausprobiert hast, weißt du, dass das Alleinlernen seine Grenzen hat. Menschen lernen am besten mit 1:1 Betreuung. Der bewährte 1:1-zentrierte Ansatz des Turing College bedeutet, dass du die ganze persönliche Unterstützung hast, die du brauchst, um erfolgreich zu sein.

Betreuung von leitenden Teamleitern

Entwickle Fähigkeiten schneller mit 1:1-Unterstützung von Branchenexperten und Mentoring. Und da einige deiner leitenden Teamleiter Manager in ihren Unternehmen sind, könnten sie dich sogar einstellen.

Selbstvertrauen durch deinen Karrierecoach

Dein Coach wird dir helfen, deine Jobsuchstrategie zu personalisieren und dir Feedback zu deinem Lebenslauf geben. Er wird die helfen, deine Chancen zu verbessern, um eine Position zu sichern, indem er Technik- und HR-Jobinterviews mit dir durchspielt.

Kompetenz durch die Anleitung anderer aufbauen

Die Wissenschaft zeigt, dass der beste Weg zu lernen darin besteht, andere zu lehren. Am Turing College geben wir dir die Möglichkeit, die Arbeit von weniger erfahrenen Lernenden zu überprüfen.

Zusammenarbeit deiner Gemeinschaft

Du wirst regelmäßige wöchentliche Standups haben. Diese Treffen bieten dir die Möglichkeit, Themen und Probleme mit leitenden Teamleitern zu teilen und zu diskutieren.

Learn anytime, anywhere

Dedicating at least 15 hours of focused learning per week you can graduate in 12 months. Of course there is no limits on how fast you can graduate. Learn how to plan your graduation date.






aktive Studenten

*Arbeitsqualifizierte Absolventen erhielten ein Angebot und wurden innerhalb von 6 Monaten nach dem Abschluss eingestellt.

How to get in?

We have a 2 part application process which requires you to first complete an application and then answer video questions.


Admissions rate

3 weeks

Median application time


Applicant’s countries

Admission criteria
Fluent in english

Candidates must demonstrate an English proficiency of at least B2 level to be admitted to any program.

Dedication of 15-30 focused hours per week

Focused hours are:
- Working with the computer (not a smartphone);
- Undisrupted working time in dedicated space;
- Rested, not overworked (not after intense cognitive work).

Up-to-date computer

A computer on which you can freely install tools and which has an actively supported and updated operating system.

Have questions or doubts about the program?
Book a consultation call with us!

We have limited seats. Apply now!

Upcoming groups:

Starts at


Deadline for applications


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Program price 6,480. Tuition is flexible:

Save 17%

Upfront discount

30-day money-back guarantee



Pay in 12 months


30-day money-back guarantee



Funded by hiring partners


🇪🇺 Top 5% of applicants, EU residents only

Learn for free

UZT funding

🇱🇹 LT residents only

Das Turing College ist für diejenigen, die Datenwissenschaft beherrschen wollen.

Edvard Sivickij

Datenanalyst @ Kilo Health

Das Turing College hat mein Leben für immer verändert! Am Turing College zu studieren war eine der besten Erfahrungen, die mir passiert sind.

Linda Oranya

Datenwissenschaftlerin @ Metasite Data Insights

Nach dem Programm konnte ich problemlos in die Arbeit einsteigen und echte Geschäftsprobleme lösen.

Ovidijus Kuzminas

ML-Ingenieur @ Oxus.AI

Studenten aus

Why alternatives don’t work


We encourage you to read. But it can take years to cover even the basics and most importantly, books won’t teach you real-life work experience and skills.

Other bootcamps

Most bootcamps lack depth and offer little in the way of 1-on-1 feedback. You’ll get a nice certificate, but might still be stuck with only the most basic knowledge.

Coursera, DataCamp

Essential skills are best learned through real-life projects and expert feedback. Online courses offer a lonely path, leaving learners unsure of their next steps once they feel job‑ready.


In what cases can I lose my scholarship?
1. If you violate one of job search/hiring conditions:

a. During your studies or within 1 month of graduation, you can only apply to any company if Turing College has confirmed that you can do this (this applies for both Hiring Partners and other companies). Turing College is allowed to make the decision as to whether an application is confirmed based on individual criteria for each case. You can apply to any company without confirmation 1 month after your graduation.

b. If you apply to a Hiring Partner and receive an offer that meets your expectations (the salary range for the position is provided by us before you apply), but you then decline that offer without a good reason. An example of a good reason would be that you accepted another offer from a Hiring Partner, or that some new requirements such as relocation were added to the job offer.

2. You cannot maintain a minimum learning speed:

For you to graduate from Turing College in a reasonable timeframe, we define a minimum learning pace requirement. We have seen that only by maintaining a consistent pace can students successfully graduate from Turing College. The minimum learning speeds for students who receive a 100% scholarship are as follows:

  • For our data science program. Your average learning speed should not be slower than completing a sprint in 3 weeks on average. This equates to finishing 3 modules in 9 months;
  • For our data analytics program. You should complete our program in no longer than 8 months.

Violating one of these conditions will lead to termination of your scholarship. If a scholarship is terminated, you will need to return the full amount of the scholarship you have received. We implement these scholarship terms to ensure we attract students who are serious about pursuing careers in a related field to their program.

If I lose my scholarship will I need to cover it?

Yes, you will need to cover a part of the full-tuition fee depending on when you lost your scholarship.

The sum is counted proportionally (12 months = 100% of the Data Science program, 6 months = 100% of the Data Analytics program).

Example: If you withdraw from Turing College or your scholarship is terminated after two months from the beginning of your Data Science Program, then you will have to return a part of the scholarship equal to two monthly Installment Payments or 2/12 of the full price, which is roughly 800 Eur.

What salary should I expect when being hired by the companies?
It depends on 4 variables:

1) Your place of work. Salaries for the same position are higher in Silicon Valley than in Lithuania due to higher cost of living, demand/supply dynamics, and other factors.

2) The position you are aiming for. If your plan is to secure a data analytics position after completing a data science program, your salary might be lower.

3) Your experience and skills.

4) Performance on interview and your negotiation skills. Even the best candidates have bad days, when answering questions, no matter how simple, proves difficult. Needless to say, this can have an impact on the initial offer you receive. Your final salary will also to a large extent depend on the success of negotiations after the interview.

Salaries in Europe and elsewhere

If you’re interested in working in another European country,  we would advise you to start with Glassdoor’s base pay calculator by choosing the relevant country or city. Please have in mind, though, that base pay estimates can be off by as much as 20% because they average out not only junior, but also  mid and senior positions. Despite this margin of error,  base pay estimates can still be useful for  identifying reasonable offers. You should expect to get a salary close to the base pay level, without feeling pressured  to accept offers that fall more than  20% below the base salary in a particular country.,7_IC2913721_KO8,22.htm?clickSource=careerNav

How does Turing College help with getting a job?

Aside from the skills gained by completing the programme, there are 3 additional ways that we offer support to our students:

1) With our Endorsement Program, you will go through a simulation of a real hiring process from the very beginning to the end. You will also be trained on how to prepare your Linkedin profile, structure your projects on Github, answer interview questions, and apply for jobs in a systematic way.

2) Referrals to our Hiring Partners. Endorsed students will be recommended to Hiring partners, who are always on the lookout for different types of specialists.

3) Referrals from our staff, mentors and alumni. We have mentors from companies like Tesla, Google, IBM, and Vinted. If they feel confident in your skills, they can refer you. If you do receive a referral from them, in most cases you will be invited to the interview stage.

What if you haven’t heard from us within 24 hours since the application?

Check your spam/promotions folder for our email. If not found, contact us via website live chat.

How likely am I to get the EU resident scholarship?

The likelihood of receiving the scholarship depends on several factors:
1) Residency: You must reside in the European Union.
2) Performance in the interview: You need to demonstrate a strong drive to learn and grow, both during the program and in your future career.  
3) Commitment: You should have a clear intention to work full-time in a related industry after completing the program and be able to dedicate at least 20 hours per week to your studies.
4) Competition: The scholarship is awarded to the top 5% of applicants. Your chances of receiving the scholarship will depend on the performance of other applicants in the interview process.

If you meet the residency requirement, showcase your potential and commitment during the interview, and rank among the top 5% of applicants, you will have a good chance of receiving the scholarship. However, please have in mind that the competition is really high.

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We have limited seats. Apply now!